The PumpKin pipeline uses machine learning to track localized movements in C. elegans nematodes. It specifically targets high-noise behaviors like pharyngeal grinding that traditional AI tools often miss. This specialized vision system allows neuroscientists to link sensory data to precise organ responses. Researchers can now quantify microscopic behaviors with higher accuracy.